Rare Time Series Motif Discovery from Unbounded Streams
Summary: Rare time-series motifs in unbounded streams; exact definitions infeasible under realistic assumptions. Efficient probabilistic framework achieves high probability of motif discovery, guided by cross-domain usage patterns in EEG, entomology, nematology. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nurjahan Begum
- 2. Eamonn Keogh
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,564 | Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures | 2020 | SIGMOD | 6.6957531e-05 |
| 5,304 | Clustering Stream Data by Exploring the Evolution of Density Mountain | 2018 | VLDB | 6.343355e-05 |
| 10,476 | A Structured Study of Multivariate Time-Series Distance Measures | 2025 | SIGMOD | 5.1725247e-05 |
| 10,746 | Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods | 2025 | VLDB | 5.1725247e-05 |
| 11,237 | Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances | 2023 | VLDB | 5.1725247e-05 |
| 11,733 | Vocalizing Large Time Series Efficiently | 2018 | VLDB | 5.1725247e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,974 | Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information | 2022 | VLDB | 6.4876072e-05 |
| 8,412 | Online Windowed Subsequence Matching over Probabilistic Sequences | 2012 | SIGMOD | 5.4958075e-05 |
| 4,171 | On Dense Pattern Mining in Graph Streams [Extended Abstract] | 2010 | VLDB | 6.9203385e-05 |
| 6,134 | Mining Periodic Patterns with Gap Requirement from Sequences | 2005 | SIGMOD | 6.0346122e-05 |
| 7,564 | Finding Relevant Patterns in Bursty Sequences | 2008 | VLDB | 5.6526664e-05 |
| 856 | Finding Frequent Items in Data Streams | 2008 | VLDB | 0.00013609218 |
| 6,676 | Motiflets - Simple and Accurate Detection of Motifs in Time Series | 2023 | VLDB | 5.8652736e-05 |
| 10,686 | MOMENTI: Scalable Motif Mining in Multidimensional Time Series | 2025 | VLDB | 5.1725247e-05 |
| 5,196 | Fast and Scalable Mining of Time Series Motifs with Probabilistic Guarantees | 2022 | VLDB | 6.3914411e-05 |
| 10,607 | Time Series Motif Discovery: A Comprehensive Evaluation | 2025 | VLDB | 5.1725247e-05 |